Startup Lessons Learned

SEPTEMBER 22, 2008

I break the answer to that question down into three engines: Viral - this is the business model identified in the presentation as "Get Users." Here, the key metrics are Acquisition and Referral, combined into the now-famous viral coefficient. If the coefficient is > 1.0 , you generally have a viral hit on your hands.

San Francisco 167

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Startup Lessons Learned

SEPTEMBER 12, 2008

vs. sustainable: Compare this to the renewable strategies, like viral marketing, SEO, widgets, and ads, which can scale into 10s of millions of users but are primarily centered around tough, non-user centric work. The Entrepreneur’s Guide to Customer Development ► June (3) What is a startup?

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Startup Lessons Learned

SEPTEMBER 15, 2008

The goal is to have split-testing be a continuous part of our development process, so much so that it is considered a completely routine part of developing a new feature. If its part of a viral loop, its probably trying to get them to invite more friends (on average). This is not what I have in mind.

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Startup Lessons Learned

SEPTEMBER 18, 2008

Even with only a few months of development, third parties have crammed every single category in the store full of apps. All I see is a name, an icon, a price, the developers name, and a review star-rating. On Facebook, viral distribution has proved decisive. Case Study: Continuous deployment makes releases n.

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Startup Lessons Learned

SEPTEMBER 29, 2008

Revenue is always my preferred measure, but you can use anything that is important to your business: retention, activation, viral invites, or even customer satisfaction in the form of something like net promoter score. The Entrepreneur’s Guide to Customer Development ► June (3) What is a startup?

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Startup Lessons Learned

DECEMBER 7, 2008

Each experiment is like a little mystery, and if you can get into a mindset of open-mindedness about the answer, the answers will continually surprise and amaze you. A few days ago I open-sourced a framework for split-testing, A/B testing or continous optimization. Case Study: Continuous deployment makes releases n.

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San Francisco Lean Continuous Deployment DC 132